d-elicio / Oil-Spill-Detection-in-SAR-images
Implementation of Image Processing Segmentation techniques and algorithms for Oil Spill detection in SAR images
☆23Updated last year
Alternatives and similar repositories for Oil-Spill-Detection-in-SAR-images:
Users that are interested in Oil-Spill-Detection-in-SAR-images are comparing it to the libraries listed below
- Matlab code for "Sea ice change detection in SAR images based on convolutional-wavelet neural networks," IEEE GRSL 2019☆55Updated 3 years ago
- The matlab code for "Synthetic aperture radar image change detection based on frequency domain analysis and random multigraphs" JARS 201…☆24Updated 5 years ago
- Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN☆45Updated 5 years ago
- A Kernel, based on Adaptive threshold algorithm for automatic Ship Detection using Dual Polarimetric SAR Imagery. Innovation is aimed at …☆10Updated 3 years ago
- These are a set of scripts to train a deep learning based SAR image despeckling method.☆23Updated 3 years ago
- Graduate product in SJTU. Implemented the program to detect target ship in SAR images☆25Updated 7 years ago
- We study the functional relationship between the dielectric constant of soil-water mixture and penetration depth of microwave signals int…☆23Updated 4 years ago
- Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added …☆50Updated 2 years ago
- Matlab code for paper "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet", IEEE GRSL 2016☆34Updated 5 years ago
- Reconstruction full-pol data from single-pol SAR data☆29Updated 6 years ago
- An implementation of the paper SAR Image Despeckling Using a Convolutional Neural Network by Puyang Wang,☆13Updated 2 years ago
- The matlab code for "Change Detection from Synthetic Aperture Radar Images Based on Neighborhood-Based Ratio and Extreme Learning Machine…☆31Updated 3 years ago
- Hyperspectral Processing Scripts for the HydReSGeo Dataset☆15Updated 3 years ago
- Target Recognition in SAR images through various ML and DL algorithms.☆22Updated 3 years ago
- SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering☆10Updated 3 years ago
- Matlab implementation of ship detection algorithms in synthetic aperture radar images☆24Updated 6 years ago
- In this NSF funded Research Experience Undergraduates (REU) project, we develop and implement deep neural network algorithms for change d…☆20Updated 7 years ago
- Classify SAR-satellite images using CNNs☆10Updated 6 years ago
- This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is p…☆25Updated 2 years ago
- A multi-module change detection method for multi-temporal SAR images using deep learning☆24Updated 4 years ago
- Adaptive Importance Sampling Unscented Kalman Filter based SAR Image Super Resolution☆25Updated 4 years ago
- Sea Ice and water SAR Imagery Classification Using Convolutional Neural Networks☆14Updated 7 years ago
- A simple unsupervised change detection library for Polarimetric SAR data☆16Updated 2 years ago
- Polarimetric Synthetic Aperture Radar (PolSAR) Decomposition Modelling☆34Updated 4 years ago
- [IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"☆30Updated last year
- Q. Zhang, Q. Yuan, J. Li, Z. Yang, and X. Ma, "Learning a Dilated Residual Network for SAR Image Despeckling," Remote Sensing, 2018.☆14Updated 4 years ago
- A sparse regularisation based method for detecting ship wakes in SAR images of the sea surface